ArticlePLoS computational biology2018
Functional interrogation of Plasmodium genus metabolism identifies species- and stage-specific differences in nutrient essentiality and drug targeting.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 36 citations in OpenAlex.
- Using MR-chordless circuits for efficient enumeration of autocatalytic cores in large chemical reaction networks.Journal of cheminformatics · 2026Article
- Targeting protein-protein interactions in Plasmodium: from asexual replication to sexual development.Parasites & vectors · 2026Review
- Validated antimalarial drug target discovery using genome-scale metabolic modeling.Antimicrobial agents and chemotherapy · 2025Article
- An integrated systems biology approach establishes arginine biosynthesis as a metabolic weakness in Candida albicans during host infection.Cell communication and signaling : CCS · 2025Article
- Eliminating malaria transmission requires targeting immature and mature gametocytes through lipoidal uptake of antimalarials.Nature communications · 2024Article
- Panera: An innovative framework for surmounting uncertainty in microbial community modeling using pan-genera metabolic models.iScience · 2024Article
- Current State, Challenges, and Opportunities in Genome-Scale Resource Allocation Models: A Mathematical Perspective.Metabolites · 2024Review
- Genome-scale model ofMicrobiology spectrum · 2024Article
- Machine learning methods for predicting essential metabolic genes from Plasmodium falciparum genome-scale metabolic network.PloS one · 2024Article
- CONTRABASS: exploiting flux constraints in genome-scale models for the detection of vulnerabilities.Bioinformatics (Oxford, England) · 2023Article
- Integration of omics data to generate and analyse COVID-19 specific genome-scale metabolic models.Computers in biology and medicine · 2022Article
- Genome-scale metabolic modeling in antimicrobial pharmacology.Engineering microbiology · 2022Review
- Genome-Scale Metabolic Modelling Approach to Understand the Metabolism of the Opportunistic Human PathogenMetabolites · 2022Article
- Comparative analyses of parasites with a comprehensive database of genome-scale metabolic models.PLoS computational biology · 2022Article
- Review
- TrpNet: Understanding Tryptophan Metabolism across Gut Microbiome.Metabolites · 2021Article
- Global connectivity in genome-scale metabolic networks revealed by comprehensive FBA-based pathway analysis.BMC microbiology · 2021Article
- MetaNetX/MNXref: unified namespace for metabolites and biochemical reactions in the context of metabolic models.Nucleic acids research · 2021Article
- Uncovering the Role of Metabolism in Oomycete-Host Interactions Using Genome-Scale Metabolic Models.Frontiers in microbiology · 2021Review
- Genome-scale metabolic models highlight stage-specific differences in essential metabolic pathways in Trypanosoma cruzi.PLoS neglected tropical diseases · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
Several antimalarial drugs exist, but differences between life cycle stages among malaria species pose challenges for developing more effective therapies. To understand the diversity among stages and species, we reconstructed genome-scale metabolic models (GeMMs) of metabolism for five life cycle stages and five species of Plasmodium spanning the blood, transmission, and mosquito stages. The stage-specific models of Plasmodium falciparum uncovered stage-dependent changes in central carbon metabolism and predicted potential targets that could affect several life cycle stages. The species-specific models further highlight differences between experimental animal models and the human-infecting species. Comparisons between human- and rodent-infecting species revealed differences in thiamine (vitamin B1), choline, and pantothenate (vitamin B5) metabolism. Thus, we show that genome-scale analysis of multiple stages and species of Plasmodium can prioritize potential drug targets that could be both anti-malarials and transmission blocking agents, in addition to guiding translation from non-human experimental disease models.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.